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Dataset Title:  Abundance of young mullet Mugil liza Valenciennes, 1836 in the surf zone along
the southern coast of Brazil
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Institution:  FURG, VLIZ   (Dataset ID: mugilliza_brazil)
Range: longitude = -53.5 to -48.75°E, latitude = -33.9 to -28.48°N, time = 2011-06-01T01:00:00Z to 2012-05-01T01:00:00Z
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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  eventID {
    String long_name "eventID";
    String units "None";
    String units_uri "None";
  }
  ScientificName {
    String long_name "ScientificName";
    String sdn_P02_name "SeaDataNet biological format biotic parameters";
    String sdn_P02_uri "https://vocab.nerc.ac.uk/collection/P02/current/BPRP/";
    String sdn_P02_urn "SDN:P02::BPRP";
    String sdn_parameter_name "Taxon of biological entity specified elsewhere";
    String sdn_parameter_uri "https://vocab.nerc.ac.uk/collection/P01/current/SCNAME01/";
    String sdn_parameter_urn "SDN:P01::SCNAME01";
    String sdn_uom_name "Not applicable";
    String sdn_uom_uri "https://vocab.nerc.ac.uk/collection/P06/current/XXXX/";
    String sdn_uom_urn "SDN:P06::XXXX";
    String standard_name "scientificname";
    String units "Not applicable";
    String units_uri "https://vocab.nerc.ac.uk/collection/P01/current/SCNAME01/";
  }
  BasisOfRecord {
    String long_name "BasisOfRecord";
    String units "None";
    String units_uri "None";
  }
  InstitutionCode {
    String long_name "InstitutionCode";
    String units "None";
    String units_uri "None";
  }
  YearCollected {
    Float32 actual_range 2011.0, 2012.0;
    String long_name "YearCollected";
    String units "None";
    String units_uri "None";
  }
  MonthCollected {
    Float32 actual_range 1.0, 12.0;
    String long_name "MonthCollected";
    String units "None";
    String units_uri "None";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.30689e+9, 1.335834e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
    String units_uri "https://vocab.nerc.ac.uk/collection/P01/current/CJDY1101";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -53.5, -48.75;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    String units_uri "https://vocab.nerc.ac.uk/collection/P01/current/ALONZZ01";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -33.9, -28.48;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    String units_uri "https://vocab.nerc.ac.uk/collection/P01/current/ALATZZ01";
  }
  aphia_id {
    String long_name "aphia_id";
    String sdn_P02_name "SeaDataNet biological format biotic parameters";
    String sdn_P02_uri "https://vocab.nerc.ac.uk/collection/P02/current/BPRP/";
    String sdn_P02_urn "SDN:P02::BPRP";
    String sdn_parameter_name "Identifier (LSID) of biological entity specified elsewhere";
    String sdn_parameter_uri "https://vocab.nerc.ac.uk/collection/P01/current/SNANID01/";
    String sdn_parameter_urn "SDN:P01::SNANID01";
    String sdn_uom_name "Not applicable";
    String sdn_uom_uri "https://vocab.nerc.ac.uk/collection/P06/current/XXXX/";
    String sdn_uom_urn "SDN:P06::XXXX";
    String standard_name "aphia_id";
    String units "Not applicable";
    String units_uri "https://vocab.nerc.ac.uk/collection/P01/current/SNANID01/";
  }
 }
  NC_GLOBAL {
    String AccConID "24";
    String AccConstrDescription "This license lets others remix, tweak, and build upon your work non-commercially, and although their new works must also acknowledge you and be non-commercial, they don’t have to license their derivative works on the same terms";
    String AccConstrDisplay "This dataset is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.";
    String AccConstrEN "Attribution-NonCommercial (CC BY-NC)";
    String AccessConstraint "Attribution-NonCommercial (CC BY-NC)";
    String AccessConstraints "None";
    String Acronym "None";
    String added_date "2023-04-27 15:41:35.830000";
    String BrackishFlag "0";
    String CDate "2023-03-23";
    String cdm_data_type "Other";
    String CheckedFlag "0";
    String Citation "Lemos Valéria Marques, Vieira João Paes (2020). Abundance of young mullet Mugil liza Valenciennes, 1836 in the surf zone along the southern coast of Brazil. SEANOE.";
    String Comments "None";
    String ContactEmail "None";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "Perez Perez";
    String CurrencyDate "None";
    String DasID "8250";
    String DasOrigin "Research: field survey";
    String DasType "Data";
    String DasTypeID "1";
    String DateLastModified "{'date': '2025-02-13 01:37:29.538097', 'timezone_type': 1, 'timezone': '+01:00'}";
    String DescrCompFlag "None";
    String DescrTransFlag "None";
    String DOI "10.17882/75808";
    Float64 Easternmost_Easting -48.75;
    String EmbargoDate "None";
    String EngAbstract "This dataset presents abundance data of juveniles Mugil liza recorded in surf-zone in south Brazilian coast. The fish were collected monthly between June 2011 and May 2012 in the surf zones adjacent to the mouths of the six estuaries from 29°S, 48°W to 34°S, 53°W.";
    String EngDescr "Two marine surf zone sampling points were selected at each site. At each sampling point, we collected five samples monthly. Each beach seine sample was conducted perpendicular to the beach at a depth of 1.5 m. The beach seine net was 9 m long and 1.5 m high with 13 mm knot-to-knot mesh in the wings and 5 mm knot-to-knot mesh in the 3 m central section. Each haul covered an area of approximately 120 m2. Mullet abundance data is the total number of individuals per sampling event. Water temperature (°C) and salinity were recorded monthly at each sampling event using a digital multiparameter probe. The salinity was measured using the Practical Salinity Scale (PSU). The water transparency was measured using a Secchi disk (cm). This study was conducted in accordance with the recommendations of the Brazilian Ministry of the Environment (MMA), and all data collection and fish handling were endorsed by the Permanent License for Collection of Zoological Material. The dataset were formatted according to the Darwin Core (DwC) standard (TDWG 2015).";
    String FreshFlag "0";
    String GBIF_UUID "d30ee850-f6b8-4186-8633-7d67e2a489c9";
    Float64 geospatial_lat_max -28.48;
    Float64 geospatial_lat_min -33.9;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -48.75;
    Float64 geospatial_lon_min -53.5;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-03-09T23:19:50Z (local files)
2025-03-09T23:19:50Z http://erddap.eurobis.org/tabledap/mugilliza_brazil.das";
    String infoUrl "None";
    String InputNotes "None";
    String institution "FURG, VLIZ";
    String keywords "aphia_id, BasisOfRecord, eventID, InstitutionCode, latitude, longitude, MonthCollected, ScientificName, time, YearCollected";
    String License "https://creativecommons.org/licenses/by-nc/4.0";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String Lineage "None";
    String MarineFlag "1";
    String modified_sync "2023-03-31 00:00:00";
    Float64 Northernmost_Northing -28.48;
    String OrigAbstract "None";
    String OrigDescr "None";
    String OrigDescrLang "None";
    String OrigDescrLangNL "None";
    String OrigLangCode "None";
    String OrigLangCodeExtended "None";
    String OrigLangID "None";
    String OrigTitle "None";
    String OrigTitleLang "None";
    String OrigTitleLangCode "None";
    String OrigTitleLangID "None";
    String OrigTitleLangNL "None";
    String Progress "Completed";
    String PublicFlag "1";
    String ReleaseDate "None";
    String ReleaseDate0 "None";
    String RevisionDate "None";
    String SizeReference "None";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -33.9;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String StandardTitle "Abundance of young mullet Mugil liza Valenciennes, 1836 in the surf zone along the southern coast of Brazil";
    String StatusID "1";
    String subsetVariables "ScientificName,BasisOfRecord,YearCollected,MonthCollected,aphia_id";
    String summary "This dataset presents abundance data of juveniles Mugil liza recorded in surf-zone in south Brazilian coast. The fish were collected monthly between June 2011 and May 2012 in the surf zones adjacent to the mouths of the six estuaries from 29°S, 48°W to 34°S, 53°W.";
    String TerrestrialFlag "0";
    String time_coverage_end "2012-05-01T01:00:00Z";
    String time_coverage_start "2011-06-01T01:00:00Z";
    String title "Abundance of young mullet Mugil liza Valenciennes, 1836 in the surf zone along the southern coast of Brazil";
    String UDate "2024-07-08";
    String VersionDate "None";
    String VersionDay "None";
    String VersionMonth "None";
    String VersionName "None";
    String VersionYear "None";
    String VlizCoreFlag "1";
    Float64 Westernmost_Easting -53.5;
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
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